# Elementary Statistics Using Excel, 7th edition

• Mario F. Triola

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## Overview

In Elementary Statistics Using Excel, real data brings statistics to life. From cybersecurity to drones and more, statistics shapes the world around us. Acclaimed author Marty Triola offers current applications and abundant new real data to help students of all majors understand the role of statistics in our lives. Great care is taken to ensure students of any major can find the text readable and applicable. End-of-chapter features reinforce skills and ask you to think critically; flowcharts throughout help simplify and clarify more complex concepts and procedures visually. Updates in the 7th Edition keep this text more relevant and supportive than ever, with a wealth of new data sets, exercises and examples along with larger data sets, content updates and more.

ISBN-13: 9780137376940

Subject: Introductory Statistics

Category: Elementary Statistics Using Excel

## Overview

### 1. Introduction to Statistics

• 1.1 Statistical and Critical Thinking
• 1.2 Types of Data
• 1.3 Collecting Sample Data
• 1.4 Ethics in Statistics (download only)

### 2. Exploring Data with Tables and Graphs

• 2.1 Frequency Distributions for Organizing and Summarizing Data
• 2.2 Histograms
• 2.3 Graphs That Enlighten and Graphs That Deceive
• 2.4 Scatterplots, Correlation, and Regression

### 3. Describing, Exploring, and Comparing Data

• 3.1 Measures of Center
• 3.2 Measures of Variation
• 3.3 Measures of Relative Standing and Boxplots

### 4. Probability

• 4.1 Basic Concepts of Probability
• 4.2 Addition Rule and Multiplication Rule
• 4.3 Complements, Conditional Probability, and Bayes' Theorem
• 4.4 Counting
• 4.5 Simulations for Hypothesis Tests

### 5. Discrete Probability Distributions

• 5.1 Probability Distributions
• 5.2 Binomial Probability Distributions
• 5.3 Poisson Probability Distributions

### 6. Normal Probability Distributions

• 6.1 The Standard Normal Distribution
• 6.2 Real Applications of Normal Distributions
• 6.3 Sampling Distributions and Estimators
• 6.4 The Central Limit Theorem
• 6.5 Assessing Normality
• 6.6 Normal as Approximation to Binomial (download only)

### 7. Estimating Parameters and Determining Sample Sizes

• 7.1 Estimating a Population Proportion
• 7.2 Estimating a Population Mean
• 7.3 Estimating a Population Standard Deviation or Variance
• 7.4 Bootstrapping: Using Technology for Estimates

### 8. Hypothesis Testing

• 8.1 Basics of Hypothesis Testing
• 8.2 Testing a Claim About a Proportion
• 8.3 Testing a Claim About a Mean
• 8.4 Testing a Claim About a Standard Deviation or Variance
• 8.5 Resampling: Using Technology for Hypothesis Testing

### 9. Inferences from Two Samples

• 9.1 Two Proportions
• 9.2 Two Means: Independent Samples
• 9.3 Matched Pairs
• 9.4 Two Variances or Standard Deviations
• 9.5 Resampling: Using Technology for Inferences

### 10. Correlation and Regression

• 10.1 Correlation
• 10.2 Regression
• 10.3 Prediction Intervals and Variation
• 10.4 Multiple Regression
• 10.5 Nonlinear Regression

### 11. Goodness-of-Fit and Contingency Tables

• 11.1 Goodness-of-Fit
• 11.2 Contingency Tables

### 12. Analysis of Variance

• 12.1 One-Way ANOVA
• 12.2 Two-Way ANOVA

### 13. Nonparametric Tests

• 13.1 Basics of Nonparametric Tests
• 13.2 Sign Test
• 13.3 Wilcoxon Signed-Ranks Test for Matched Pairs
• 13.4 Wilcoxon Rank-Sum Test for Two Independent Samples
• 13.5 Kruskal-Wallis Test for Three or More Samples
• 13.6 Rank Correlation
• 13.7 Runs Test for Randomness

### 14. Statistics Process Control

• 14.1 Control Charts for Variation and Mean
• 14.2 Control Charts for Attributes

### APPENDICES

#### Index

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